similar to: analysis of bitmaps

Dear R users, I was wondering how I can convert a raster image (that made R through interpolation) into an ascii or csv format? this is the last line of my command p <- interpolate(r, tpsfit) So p is my raster file which I want to convert into ascii or csv Many thanks Regards Mintewab

Dear all, I have asked yesterday of how I can read a simple bitmap file in R cran. I was suggest to use either readGDAL or raster for loading my bitmap a. I have done it with readGDAL like     store<-readGDAL(fname='lena256.bmp')     and it works,... but it converts my matrix-like notion of a bitmap to a large vector b. Raster also returns a class that I can not understand. So 1,

Dear all, Several days ago, I posted How to write a bmp file pixel by pixel. Instead of bmp, I succeeded in writing a PPM file by using the pixmap package. Thanks for the hint generously provided by Uwe Ligges. Now I have a new question. How to convert a PPM file to BMP file in R? I know I can do this in photoshop or by some other softwares, but I think if I Can do this in R, that

Dear listers, I have a collection of tif images that I would like to convert, in R, to a matrix containing the values of the 8bit colour. Ideally, I would like a matrix for each of the colour channels (red, blue and green). I have 'googled' and searched the help list but have yet to find a solution and hope that someone can point me in the right direction. I currently use

Hi, I want to use map("state") and have the ecoregion shape (please see link) file projected onto this. ftp://ftp.epa.gov/wed/ecoregions/cec_na/NA_CEC_Eco_Level3.zip ftp://ftp.epa.gov/wed/ecoregions/cec_na/NA_CEC_Eco_Level3.zip Could someone please show me how; I have never messed with this sort of thing. Thanks. -- View this message in context:

Hi I want to overlay my raster and its boundary which is a shapefile. When I used thise code separately, all is ok: # Open raster >Image<-read.table("C:\\Users\\Documents\\Nouveau\\Frequence.txt",sep="",dec=",",header=TRUE) >testo<-rasterFromXYZ(Image) >plot(testo) >testo2 <- aggregate(testo,fact=10, fun=mean) >plot(testo2) # open

Dear all, I am looking for a function that can read a simple bmp file and return me a matrix with their corresponding values. I have already looked in the packages require(ReadImages) require(pixmap) and also did apropos("image") but I could not find something that can do something like that. I have also tried the read.ftable but it also failed. B.R Alex [[alternative HTML

Has anyone yet tried incorporating rasterImage into the base image() function? It seems to make a *huge* difference, with a very small number of added/changed lines of code. (Of course I have barely tested it at all.) Is there any reason this *shouldn't* go into the next release? > source("image.R") > z <- matrix(runif(1e6),nrow=1000) > image(z) >

I am working on dumping raster data from R into PNG files using rasterImage(). I am working with a test matrix from the rasterImage() example and using it to produce a PNG image with the following code: # From the example for rasterImage(). A 3 pixel by 5 pixel b/w checkerboard. testImage <- as.raster(0:1, nrow=3, ncol=5) testImage [,1] [,2] [,3] [,4] [,5] [1,]

I am working on dumping raster data from R into PNG files using rasterImage(). I am working with a test matrix from the rasterImage() example and using it to produce a PNG image with the following code: # From the example for rasterImage(). A 3 pixel by 5 pixel b/w checkerboard. testImage <- as.raster(0:1, nrow=3, ncol=5) testImage [,1] [,2] [,3] [,4] [,5] [1,]

> > Hi, > > I used > GDALinfo("MOD13Q1.A2001049.h13v11.005.2007002215512.250m_16_days_EVI.tif") and > got the results: > > rows 10 > columns 11 > bands 1 > origin.x 150701.4 > origin.y 7744897 > res.x 250 > res.y 250 > ysign -1 > oblique.x 0 > oblique.y 0 > driver GTiff >

I would like to plot a map of, say, California, showing the elevation areas. I am sure there must be a source where I can find the dataset for the elevation and maybe there's an implementation in R that allows me to map it. Any ideas would be highly appreciated. -- View this message in context: http://r.789695.n4.nabble.com/elevation-map-with-R-tp4641116.html Sent from the R help mailing

Hello everyone, I want to get a 1km by lkm grid raster image using my csv data. If I call latitude=a, longitude=b and preciptation=c. a<-(1,2,3,4,5) b<-(6,7,8,9,10) c<-(10,20, 30,40, 50) Then I found an example in r help which goes like pts = read.table("file.csv",......) library(sp) library(rgdal) proj4string(pts)=CRS("+init=epsg:4326") # set it to lat-long pts =

library(rgdal) my_asc=dir("~/Pulpit/dods/karol/TVDI 113_121",pattern=".asc",recursive=T,full.names=T) for (i in 1:length(my_asc)) { r <- readGDAL(my_asc[i]) z <- as.matrix(r) vectordata[i] <- mean(z) vectordatamax[i] <- max(z) vectordatamin[i] <- min(z) vectordev[i] <- sd(z,na.rm=True) hist(z)

Hello, I have been exploring the possibility to transition some code that currently uses image() to use the new rasterImage(). To date, I haven't been able to specify a color look-up strategy that works. For example... nx <- 100 ny <- 100 m <- matrix(data = rep(seq(0,1, length = nx), ny), ncol = nx, nrow = ny, byrow = TRUE) plot(1:nx, 1:ny, type = "n") my.color

Hi, I am looking for a good tutorial on the ff package. Any suggestions? Also, any other package would anyone recommend for dealing with data that extends beyond the RAM would be greatly appreciated. Thanks, Fritz Zuhl

I am in the process of converting from Matlab to R, but a major sticking point for me at the moment is accessing data via OPeNDAP. After several hours of searching, I found that other people have discussed this functionality in the past, but it does not appear to have yet been developed. One programmer, Luke Miller, has managed a work-around by downloading ascii data from an OPeNDAP site (

Hi list, I thought I was used to layouts, but today I am facing a problem I cannot overcome : On my R installation (Windows 7 Pro, SP1, R version 2.13.0, daily update of packages), I am not able to put raster plots in user defined layouts : > layout.matrix<-matrix(c(1,2,3,4,5,5),2,3) > layout(mat=layout.matrix) > layout.show(5) works fine, I get the correct frames in

I'm wondering if anyone is aware of a way to take what is visible in the R graphics window, pixelate it, and express that pixellation in a numeric matrix. For example, I am using the following command to create a black (present) and white (absent) spatial simulation of grass tussock distribution. > symbols(x=runif(100,-.5,1.5),y=runif(100,-.5,1.5),circles=runif(100)/30,

Hi, I seem to be having a problem adding the following two raster objects together - one is a rasterLayer, the other is a rasterBrick. The extent, resolution, and origin are the same, so according to my understand it should work. The objects look like so: > obs.clim class : RasterLayer dimensions : 60, 200, 12000 (nrow, ncol, ncell) resolution : 0.5, 0.5 (x, y) extent : -70,